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April 15 2019
Data Integration in the Cloud Era
Case Studies Tips and Tricks on How to Succeed
Based in Naples FL
Offers over 30 years of experience in infrastructure database and
data warehouse development in the Oracle applications analytics
and business intelligence (BI) areas
Held technical leadership and consulting leadership roles at
organizations including BearingPoint J amp H Marsh McLennan
Tektronix The Walt Disney Company and Western Digital
Holds a BS in Science Math and Technology from Empire State
College with a concentration in Artificial Intelligence and Machine
Learning
Most recently completed the Data Science Certification program at
the Harvard University Extension School
Awarded the 2018 ODTUG Women in Technology (WIT)
Scholarship for her contributions to the Oracle technology field
A frequent presenter at local and national Oracle events
A multi-year Women in Science and Engineering (WISE) mentor at
University of Central Florida
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 2
Introductions Linda Stewart
Source Performance Architects
Linda Stewart
Manager amp Architect
lindastewartperformancearchitectscom
httpswwwlinkedincomin
linda-stewart-a41179150
Based in Boston MA
Maintains 20+ years of experience in the consulting internet
services and software markets
She is the Co-Chair of the Oracle Application Users Group
(OAUG) Oracle Analytics Business Intelligence and Big Data
Special Interest Group (SIG) participates in several OAUG
committees sits on the Boards of the BIWA User Community
Analytics and Data Summit and sits on the ODTUG BI Volunteer
Community Committee
Holds a BA from Yale University with Honors in Philosophy and
Political Science
Frequent presenter at industry events and writes for groups such
as Association for Financial Professionals
(AFP) BeyeNetwork ComputerWorld Enterprise Systems Higher
Education Data Warehousing Forum Information
Management The National Association of College and University
Business Officers (NACUBO) NICSA and The Data Warehousing
Institute (TDWI) as well as local and national Oracle events such
as Oracle OpenWorld Oracle Application Users Group (OAUG)
COLLABORATE and the Oracle Higher Education User Group
(HEUG) Alliance Conference
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 3
Introductions Kirby Lunger
Source Performance Architects
Kirby Lunger
Partner
Chief Sales and Marketing Officer
+1 (617) 699-9354
kirbylungerperformancearchitectscom
httpswwwlinkedincominkirbylunger
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 4
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 5
Overview amp Background
Facts and
Figures
Founded in 2006
Management
consulting and
systems integration
leader
Privately held with
solid growth and
profitability since
founding
Headquartered in
Boston MA
Operations across the
US and in India
Customer
Focus
Functional and
technical backgrounds
with practical and
relevant industry
experience
We love our work
enjoy teaching what we
know and have fun
doing our jobs
Familiar with all major
project methods and
use whatrsquos best for
your situation
The Team
Partnered with market
leaders across the
analyticsBI EPM and
supporting technology
markets
100 of staff certified
and trained in these
technologies
Deeply involved in
partner association
and technology
leadership groups
Partnerships
We are proud of our
100 client
reference-ability
Hundreds of clients
and solutions
95 repeat
business rate
Main focus is
enterprise analytics
(BIAnalytics and EPM)
within certain vertical
markets
Source Performance Architects
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Based in Naples FL
Offers over 30 years of experience in infrastructure database and
data warehouse development in the Oracle applications analytics
and business intelligence (BI) areas
Held technical leadership and consulting leadership roles at
organizations including BearingPoint J amp H Marsh McLennan
Tektronix The Walt Disney Company and Western Digital
Holds a BS in Science Math and Technology from Empire State
College with a concentration in Artificial Intelligence and Machine
Learning
Most recently completed the Data Science Certification program at
the Harvard University Extension School
Awarded the 2018 ODTUG Women in Technology (WIT)
Scholarship for her contributions to the Oracle technology field
A frequent presenter at local and national Oracle events
A multi-year Women in Science and Engineering (WISE) mentor at
University of Central Florida
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 2
Introductions Linda Stewart
Source Performance Architects
Linda Stewart
Manager amp Architect
lindastewartperformancearchitectscom
httpswwwlinkedincomin
linda-stewart-a41179150
Based in Boston MA
Maintains 20+ years of experience in the consulting internet
services and software markets
She is the Co-Chair of the Oracle Application Users Group
(OAUG) Oracle Analytics Business Intelligence and Big Data
Special Interest Group (SIG) participates in several OAUG
committees sits on the Boards of the BIWA User Community
Analytics and Data Summit and sits on the ODTUG BI Volunteer
Community Committee
Holds a BA from Yale University with Honors in Philosophy and
Political Science
Frequent presenter at industry events and writes for groups such
as Association for Financial Professionals
(AFP) BeyeNetwork ComputerWorld Enterprise Systems Higher
Education Data Warehousing Forum Information
Management The National Association of College and University
Business Officers (NACUBO) NICSA and The Data Warehousing
Institute (TDWI) as well as local and national Oracle events such
as Oracle OpenWorld Oracle Application Users Group (OAUG)
COLLABORATE and the Oracle Higher Education User Group
(HEUG) Alliance Conference
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 3
Introductions Kirby Lunger
Source Performance Architects
Kirby Lunger
Partner
Chief Sales and Marketing Officer
+1 (617) 699-9354
kirbylungerperformancearchitectscom
httpswwwlinkedincominkirbylunger
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 4
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 5
Overview amp Background
Facts and
Figures
Founded in 2006
Management
consulting and
systems integration
leader
Privately held with
solid growth and
profitability since
founding
Headquartered in
Boston MA
Operations across the
US and in India
Customer
Focus
Functional and
technical backgrounds
with practical and
relevant industry
experience
We love our work
enjoy teaching what we
know and have fun
doing our jobs
Familiar with all major
project methods and
use whatrsquos best for
your situation
The Team
Partnered with market
leaders across the
analyticsBI EPM and
supporting technology
markets
100 of staff certified
and trained in these
technologies
Deeply involved in
partner association
and technology
leadership groups
Partnerships
We are proud of our
100 client
reference-ability
Hundreds of clients
and solutions
95 repeat
business rate
Main focus is
enterprise analytics
(BIAnalytics and EPM)
within certain vertical
markets
Source Performance Architects
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Based in Boston MA
Maintains 20+ years of experience in the consulting internet
services and software markets
She is the Co-Chair of the Oracle Application Users Group
(OAUG) Oracle Analytics Business Intelligence and Big Data
Special Interest Group (SIG) participates in several OAUG
committees sits on the Boards of the BIWA User Community
Analytics and Data Summit and sits on the ODTUG BI Volunteer
Community Committee
Holds a BA from Yale University with Honors in Philosophy and
Political Science
Frequent presenter at industry events and writes for groups such
as Association for Financial Professionals
(AFP) BeyeNetwork ComputerWorld Enterprise Systems Higher
Education Data Warehousing Forum Information
Management The National Association of College and University
Business Officers (NACUBO) NICSA and The Data Warehousing
Institute (TDWI) as well as local and national Oracle events such
as Oracle OpenWorld Oracle Application Users Group (OAUG)
COLLABORATE and the Oracle Higher Education User Group
(HEUG) Alliance Conference
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 3
Introductions Kirby Lunger
Source Performance Architects
Kirby Lunger
Partner
Chief Sales and Marketing Officer
+1 (617) 699-9354
kirbylungerperformancearchitectscom
httpswwwlinkedincominkirbylunger
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 4
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 5
Overview amp Background
Facts and
Figures
Founded in 2006
Management
consulting and
systems integration
leader
Privately held with
solid growth and
profitability since
founding
Headquartered in
Boston MA
Operations across the
US and in India
Customer
Focus
Functional and
technical backgrounds
with practical and
relevant industry
experience
We love our work
enjoy teaching what we
know and have fun
doing our jobs
Familiar with all major
project methods and
use whatrsquos best for
your situation
The Team
Partnered with market
leaders across the
analyticsBI EPM and
supporting technology
markets
100 of staff certified
and trained in these
technologies
Deeply involved in
partner association
and technology
leadership groups
Partnerships
We are proud of our
100 client
reference-ability
Hundreds of clients
and solutions
95 repeat
business rate
Main focus is
enterprise analytics
(BIAnalytics and EPM)
within certain vertical
markets
Source Performance Architects
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 4
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 5
Overview amp Background
Facts and
Figures
Founded in 2006
Management
consulting and
systems integration
leader
Privately held with
solid growth and
profitability since
founding
Headquartered in
Boston MA
Operations across the
US and in India
Customer
Focus
Functional and
technical backgrounds
with practical and
relevant industry
experience
We love our work
enjoy teaching what we
know and have fun
doing our jobs
Familiar with all major
project methods and
use whatrsquos best for
your situation
The Team
Partnered with market
leaders across the
analyticsBI EPM and
supporting technology
markets
100 of staff certified
and trained in these
technologies
Deeply involved in
partner association
and technology
leadership groups
Partnerships
We are proud of our
100 client
reference-ability
Hundreds of clients
and solutions
95 repeat
business rate
Main focus is
enterprise analytics
(BIAnalytics and EPM)
within certain vertical
markets
Source Performance Architects
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 5
Overview amp Background
Facts and
Figures
Founded in 2006
Management
consulting and
systems integration
leader
Privately held with
solid growth and
profitability since
founding
Headquartered in
Boston MA
Operations across the
US and in India
Customer
Focus
Functional and
technical backgrounds
with practical and
relevant industry
experience
We love our work
enjoy teaching what we
know and have fun
doing our jobs
Familiar with all major
project methods and
use whatrsquos best for
your situation
The Team
Partnered with market
leaders across the
analyticsBI EPM and
supporting technology
markets
100 of staff certified
and trained in these
technologies
Deeply involved in
partner association
and technology
leadership groups
Partnerships
We are proud of our
100 client
reference-ability
Hundreds of clients
and solutions
95 repeat
business rate
Main focus is
enterprise analytics
(BIAnalytics and EPM)
within certain vertical
markets
Source Performance Architects
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 6
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 7
Representative Higher Education Clients
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 8
Document Outline
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 9
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
What is Data Management and Integration
Data integration involves combining data residing in
different sources to provide users with a unified view
of the data This process becomes significant in a
variety of situations which include both commercial
and scientific domains
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 10Source Wikipedia
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
ETL versus ELT
ETL (Extract Transform Load) is normally a continuous ongoing
process with a well-defined workflowndash ETL first extracts data from data sources
ndash Typically the ETL is performed on an intermediate server
ndash Data is cleansed enriched transformed then stored either back in the data
lake or in a data warehouse
ELT (Extract Load Transform) is a variant of ETLndash The extracted data is loaded into the target system as the initial step
ndash Transformations are performed after the data is loaded into the data
warehouse
ndash ELT typically works well when the target database system is powerful enough
to handle transformations
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 11Source Performance Architects
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Why Do We Need Data Integration
Operational insights
Collaboration
Bridging gaps
Unifying data views
Faster answers to business questions
Better answers to business questions
Competitive edge
Itrsquos the glue that connects everything together
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 12Source Performance Architects
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Gartner Magic Quadrant
Data Integration Tools (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 13Source Gartner
The market for data integration tools includes vendors that offer software products to enable the construction
and implementation of data access and data delivery infrastructure for a variety of
data integration scenarios including
Support for governance and management of data assets
Data acquisition for analytics and business intelligence (BI) and
data warehousing
Sourcing and delivery of master data in support of
master data management (MDM)
Data consistency between operational applications
Interenterprise data sharing
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Gartner Magic Quadrant
Enterprise Platform Infrastructure as a Service (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 14Source Gartner
An iPaaS solution is typically used for cloud service integration (CSI)
application-to-application integration (A2A) business-to-business integration (B2B)
scenarios and increasingly for mobile application integration (MAI) and
IoT integration scenarios
Gartner considers an iPaaS solution to be enterprise iPaaS (EiPaaS) if it
Supports enterprise-class integration projects requiring high availabilitydisaster recovery
(HADR) security service-level agreements (SLAs) and technical support from the provider
Provides appropriate user experiences to the end user of the platform to allow the subscriber to
develop integration capabilities independent of the EiPaaS providers professional services
Can be used for multiple integration scenarios including application integration and
data integration use cases
Is fully managed by the vendor for patching and upgrades client-managed software components
are not considered to be part of an EiPaaS offering
Provides flexibility for the deployment of the runtime engine for a number of
hybrid deployment options
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Gartner Magic Quadrant
Metadata Management (2018)
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 15Source Gartner
Solutions are not all identical in scope or capability
Not all vendors offer all these capabilities and not all vendor solutions offer these capabilities in one product
bull Metadata repositoriesbull Business glossary bull Data lineagebull Impact analysisbull Rules management bull Semantic frameworks bull Metadata ingestion and translation
techniques including
Extraction transformation and loading (ETL) application integration data integration search
Business intelligence (BI) and reporting tools Modeling tools Database management system (DBMS)
catalogs ERP and other applications XML formats Hardware and network log files Microsoft Excel spreadsheetsWord documents PDF documents Business metadata Custom metadata
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 16
Our Technical Expertise and Todayrsquos Conversation Focus
DatabasesNon-Relational Database (NoSQL) Relational Database (SQL)
Data ManagementData Management amp Integration
(ETL ELT)
Data ModelingData
Lake
Data Warehouse
Data Mart
Operational Data Store
(ODS)
Data SourcesCRM HCM ERP
SCM Systems
Legacy
Systems
Other Operational
Systems
External Data
Sources
Business SolutionsStrategy
Management
Business or
Enterprise Analytics
Financial Management
Budgeting Forecasting amp Planning
Profitability amp Cost Management
Close amp Consolidation
Delivered on-premises hybrid or in the cloud via all relevant devices
Source Performance Architects
Topics wersquore covering today
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 17
Data Warehouses versus Data Lakes Academic Definitions
Source httpswwwkdnuggetscom201509data-lake-vs-data-warehouse-key-differenceshtml
Source kdnuggetscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Data Warehouses versus Data Lakes How Integration Works
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 18
Data Warehouse versus Data Lake
Data Integration
Data is extracted
and organized
into subject areas
Data must be
organized for
analytical value
Raw data is
loaded to the
data lake
Data is cleansed
and ready for
analytics
Source Performance Architects
Analytics
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Data Lakes Not Data Dumps
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 19
A very expensive experiment or a strategic asset
Itrsquos your choice
PROS
Quickly move data to a
reporting instance
Possible to push data from
many sources
Useful for near real-time reports
Useful for exploration
CONS
Sustainability
Data governance
Data catalogue
Data quality
Data security
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Gartner Magic Quadrant
Data Management Solutions for Analytics (DMSA) (2018)
Source Gartner copy 2019 Performance Architects Inc Proprietary amp Confidential Page 20
Gartner defines a data management
solution for analytics (DMSA) as a
complete software system that supports
and manages data in one or many file
management systems most commonly
a database or multiple databases
These management systems include
specific optimization strategies
designed for supporting analytical
processing mdash including but not limited
to relational processing nonrelational
processing (such as graph processing)
and machine learning or programming
languages such as Python or R
Data is not necessarily stored in a
relational structure and can use
multiple data models relational XML
JavaScript Object Notation (JSON)
key-value graph geospatial and others
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 21
Document Outline
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 22
Transfer
Analyze
Design
Implement
Operate
Student
Advisor
Student
Success
Source Performance Architects
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
The Data Integration Lifecycle
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 23
1
34
5
6
7
Manage
Cleanse
Integrate
Deliver
Develop
Determine
how to
access and
share data
Secure
Understand the
data set
Identify and
clean errors
and
omissionsMap and
implement
processes
Define how
data is
delivered
Create
sustainable and
scalable code
and rules
Monitor audit
and tune
Explore
Solutions
and
Processes 2
Secure
bull Identify key sources ERP Campus Solutions
third party apps and cloud
bull Use JSON XML and web services
1
2
3
4
5
6
7
Explore
bull Includes ERD and source documentation
bull Understand data quality and semantics
bull Establish data standards
Cleanse
bull Identify and correct errors
bull Call out duplicates and outliers
bull Validate
Integrate
bull Identify relationships
bull Document source structure
bull Finalize deliverables
Deliver
bull Identify sensitive data
bull Ensure compliance security data privacy
encryption availability and refresh needs
Develop
bull Build the mappingdata integration code
bull Validate quality and assumptions
bull Ensure performance reliability and scalability
Manage
bull Audit and control paths
bull Manage operations
bull Tune as needed
Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 24
Document Outline
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Data Integration Options On-Premises
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 25
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
A Typical On-Premises Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 26
ETL
ELT
Data
Warehouse
Data
Warehouse
Analytics
Analytics
Student Information
General LedgerERP
Student Information
General LedgerERP
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 27
ELT
Student Information
General LedgerERP
Data
Warehouse
Data
Lake
Analytics
Source Performance Architects
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
On-Premises Data Integration Architecture Next Steps
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 28
ELT
Cloud Data
Warehouse
Data Lake
Data
Warehouse
Student Information
General LedgerERP
Analytics
Cloud
Analytics
Analytics
Source Performance Architects
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Data Integration Options Public Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 29
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Source Performance Architects
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
A Typical Public Cloud Data Integration Architecture
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 30
ELT
Cloud Data
Warehouse
Data Lake
Cloud
Student Information
General LedgerERP
Cloud
Analytics
Source Performance Architects
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Public Cloud Data Integration Architecture
Multi-Vendor Recommendations
Public cloud environments are typically highly complex with multiple
vendors at each layer of the stackndash Analytics Cognos OACOBIEE Power BI Qlik Tableau etc
ndash Data management and integration DataStage Informatica ODI SnapLogic
etc
ndash Data modeling and storage Amazon Redshift Microsoft Azure Oracle DB
Snowflake etc
The goal is to achieve one source of data for many versions of the
truth
There isnrsquot a great answerhellipthe easiest solution ishellipndash Standardize on one or more solutions at each layer of the stack especially
data integration and management
ndash Make sure you have a data governance process (aka make sure you know
what your data means even if there are multiple ways itrsquos defined)
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 31
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Public Cloud Data Integration Architecture Next Steps
Monitor service level
Monitor costs
Secure your systems
Apply application and database patches
Ensure databases are backed up
Ensure database backups can be restored
Ensure your data can be moved off the cloud solution
Contractually ensure you can move your data off the public cloud at
any time
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 32Source Performance Architects
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Data Integration Options Hybrid Cloud
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 33
On-Premises Public Cloud Hybrid Cloud
bull Utilize existing assets
bull General LedgerERP
bull Student Information
bull ETLELT
bull On-premises data
warehouse
bull On-premises data lake
bull Driven from source
system to target data
warehouse
bull Unlimited customizations
bull Secure
bull High reliability
bull Startup operations
bull Focus on product over IT
operations
bull Scalable on demand
bull Managed service
bull ldquoPay as you gordquo
bull Costs may escalate due to
bandwidth and storage
bull Few customizations
bull Less secure
bull Medium reliability
bull ldquoBest of breedrdquo approach
bull High flexibility
bull Scalable
bull Combination of private
and public cloud
bull Cost optimized solution
bull More secure than public
cloud
bull Medium to high reliability
Begin Process to Migrate
to the Cloud
Monitor and Manage
Risk Factors
Continue Best Fit
Evolution
Patch your systems
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Hybrid Cloud Data Integration Architecture
OACBICS Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 34Source Oracle Corporation
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Hybrid Cloud Data Integration Architecture
Amazon Redshift Target
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 35Source Informatica
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Hybrid Cloud Data Integration Architecture Next Steps
Continue to analyze ldquobest in breedrdquo offerings
Monitor and continue to optimize the product and service mix
Verify service level agreements are met
Monitor costs
Adjust the cloud roadmap annually as the market is changing rapidly
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 36
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 37
Document Outline
Source Performance Architects
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Source Dragnet -) copy 2019 Performance Architects Inc Proprietary amp Confidential Page 38
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
What is Oracle Analytics Cloud (OAC)
A scalable and secure public cloud service that provides a full set of capabilities to explore and perform collaborative analytics for you your workgroup and your enterprise
Provides flexible service management capabilities including fast setup easy scaling and patching and automated lifecycle management
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 39
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
OAC Features
Built on a high-performance platform with flexible data storage OAC provides a complete solution for deriving and sharing data insights
ndash Data preparation Analysts can ingest profile and cleanse data using a variety of algorithms
ndash Data flow Analysts can prepare transform and aggregate data and then run machine-learning models at scale
ndash Data discovery Subject matter experts can easily collaborate with other business users blending intelligent analysis at scale machine learning and statistical modeling
ndash Data visualization Analysts can visualize any data on any device on-premises and in the cloud
ndash Data collaboration Large organizations and small teams can share data more simply without the need to manage or consolidate multiple versions of spreadsheets and quickly perform ad hoc analysis of the spreadsheet data
ndash Data-driven Application developers can utilize interfaces that enable them to extend customize and embed rich analytic experiences in the application flow
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 40
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study A Large Public Research University
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 41
Reliable university-wide data is necessary to be successful
University strategic plan goals by
2024
ndash First year retention of 90
ndash Six-year graduation rate of 70
Data needed to predict outcomes
ndash Who is an active student
ndash What are the early warning signs a
student may be off track
ndash Do counseling scholarships and
money management contribute to
student success
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study Hybrid Migration Process (OBIEE to OAC)
The transition to the cloud can be accomplished through an incremental hybrid approach
For example this client followed three phases
1 Phase 1 bull Moved OBIEE on-premises platform environment to
OACbull Used Oracle Remote Data Connector to access on-
premises data warehouse and other sourcesbull Leveraged migration tools to move existing OBIEE
metadata and webcatalog to the cloud
2 Phase 2bull Migrated the data warehouse to Oracle DBCSbull Integrated data feeds from Financials and Campus
Solutions
3 Phase 31 Migrated Oracle Data Integrator (ODI) ELT processing
to a cloud-based platform
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 42
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study BI Pilot ndash Planning the Objectives
The pilot implementation of Oraclersquos OAC
service enabled the client to test the
migration of the on-premises OBIEE
environment to the OAC cloud
Identified and addressed potential issues
related to upgrading the OBIEE version from
11g to 12c as well as establishing a hybrid
cloud model that accesses data remaining
on-premises
Demonstrated the new features of OBIEE
12c in the cloud and OAC Data Visualization
capabilities
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 43
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study OAC Pilot Benefits
Demonstrate PaaS advantages related to hardware costs patching
upgrades and system maintenance
Low impact upgrade from OBIEE 11g on-premise to OBIEE 12c in the
cloud allowing for all new features of 12c to be available
Identify potential challenges with full transition to Oracle Cloud for all
on-premises OBIEE content
Oracle Data Visualization availability for users ready to explore more
advanced self-service analytics
Future expanded reporting capabilities from SaaS data sources like
HCM Cloud and Financials Cloud using OTBI as gateway
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 44
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study OAC Pilot ndash Risks to Manage
Connectivity to on-premises data warehouse may face challenges due
to network policies and Remote Data Connector configuration
Query performance across the network may not match current on-
premises environment performance
Configuration of current OBIEE security model using EBS for
establishing data access roles may require additional steps
Possible inconsistencies in dashboards analyses after upgrade to
OBIEE 12c in OAC
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 45
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Case Study Outcomes
Successfully migrated OBIEE to the Oracle Analytics Cloud (OAC)
Defined ldquoactive studentrdquo
Provided a unified view of the student in OAC
Created an analytic view of student retention in the first year
Identified measures to predict graduation
Defined early warning signs for a ldquoat-risk studentrdquo
Constructed key metrics to identify ldquoat-riskrdquo students collected
Student success road map
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 46Source Performance Architects
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
In Summary Data Integration in the Cloud Era
Develop a longer-term road map especially an overall strategy and requirements for data integration
Evaluate current tools against strategy and requirements
Reduce complexity fewer vendors
Consider data masking and encryption
What needs to remain on-premises eg sensitive or regulated data
Determine what strategic activities the cloud offersndash Fast time to deployndash Easier upgradesndash Cheaper storage ndash Better storage technologiesndash Managed servicesndash Contain expenses
Patch Your Environments
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 47Source Performance Architects
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Performance Architects Overview and Qualifications
Data Modeling and Data Management Definitions Concepts and
Vendor Landscape
The Data Integration Lifecycle
Data Integration Options On-Premises Public Cloud Hybrid
The Real World A Hybrid Data Integration Cloud Case Study
Questions and Special Offer
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 48
Document Outline
Source Performance Architects
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
httpsperformancearchitectscomHEDW-2019-offer
Source Performance Architects copy 2019 Performance Architects Inc Proprietary amp Confidential Page 49
Check Out Our Offer ndash Free Stuff
Curious to see if this data integration and governance data modeling and storage enterprise analytics BI big data data visualization neural networking and spatial and graph stuff actually works in the real world either on-premises in the cloud or in a hybrid environment
We understand
Performance Architects is offering all HEDW 2019 conference attendees either a free proof-of-concept (POC) using your organizationrsquos data and information or four free hours of consulting
Just fill in the form at the URL above and wersquoll be in touch to schedule
Offer does not apply to software vendor student or consulting company employees
To be eligible you must respond using this form by Monday May 27th A response to this offer does not obligate Performance Architects to
provide services (we need to see what we can reasonably accomplish with you during a POCfree consulting effort first)
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom
Questions
Todayrsquos Presenters
copy 2019 Performance Architects Inc Proprietary amp Confidential Page 50
Keep in Touch with Performance Architects
Bloghttpblogperformancearchitectscom
Twitter PerfArchitects
LinkedInhttpswwwlinkedincomcompany
performance-architects-inc-
Facebookhttpwwwfacebookcom
PerformanceArchitects
Learning Center (for archived webinar and
presentation materials)httpsperformancearchitectscom
learning-centers
YouTube HowTo Channelhttpwwwyoutubecomuser
PerformanceArchHowTo
Kirby Lungerkirbylungerperformancearchitectscom
Linda Stewartlindastewartperformancearchitectscom